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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Quan-Le Liu Li-Hong Han Wei-Wei Zhuang |
| Copyright Year | 2011 |
| Description | Author affiliation: School of economics and management, Hebei University of science and technology, Shijiazhuang 050018, China (Quan-Le Liu; Li-Hong Han) || Department of scientific research, Hebei University of science and technology, Shijiazhuang 050018, China (Wei-Wei Zhuang) |
| Abstract | The R&D (Research and Development) investment in China has increased significantly and the proportion of the industrial investments in R&D activities compared with national R&D investments has increased rapidly. R&D activities play a crucial role in enhancing the ability of companies to achieve rapid and sustainable growth. To investigate the effectiveness of these R&D investments, we make use of the DEA (Data Envelopment Analysis) models to evaluate the efficiency of R&D investments using Data from 1991 to 2008. Through analyzing the input and output by DEA approach, we can draw the conclusion that the efficiency of the R&D resources allocation is relatively low which presented the tendency firstly rise then fall. The result of the present work implied that only enhancing efficiency of the R&D resources allocation, can make our country into the innovation nation. |
| Starting Page | 621 |
| Ending Page | 626 |
| File Size | 116565 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457703058 |
| ISSN | 21601348 |
| e-ISBN | 9781457703089 |
| DOI | 10.1109/ICMLC.2011.6016801 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Investments Resource management Redundancy Marketing and sales Indexes Machine learning Economic indicators Efficiency R&D investment Resource allocation DEA approach |
| Content Type | Text |
| Resource Type | Article |
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